Triple

T12574218
Position Surface form Disambiguated ID Type / Status
Subject Mega-City One Justice Department E300164 entity
Predicate hasMember P10 FINISHED
Object Tek-Judge E989746 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tek-Judge | Statement: [Mega-City One Justice Department, hasMember, Tek-Judge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tek-Judge
Context triple: [Mega-City One Justice Department, hasMember, Tek-Judge]
  • A. Tek-Judges chosen
    Tek-Judges are a specialized cadre of technologically enhanced law enforcers in the Judge Dredd universe, expert in handling advanced tech-related crimes and equipment.
  • B. Arbiter
    The Arbiter is a powerful cosmic judge in World of Warcraft’s Shadowlands who determines the afterlives of mortal souls.
  • C. Yudga
    Yudga is an alternative name for Yidgha, an Eastern Iranian language spoken primarily in Pakistan’s Chitral region.
  • D. Judge Gookin
    Judge Gookin is a character in Nathaniel Hawthorne’s short story "Feathertop," serving as a symbol of stern, hypocritical authority within the tale’s moral allegory.
  • E. T-Court
    T-Court is a popular outdoor gathering and recreational area within The Yard complex.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a629fc8190a1c3b6777aad4527 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eb8ec888190b46a0b48840efd20 completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 4:44 p.m.